Automated vehicles and how they may affect urban form: A review of recent scenario studies
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Deployment of AVs in urban areas is estimated to result in a 35% reduction in greenhouse gas emissions.
“It is estimated that the deployment of Avs in urban areas will result in a substantial 35% reduction in greenhouse gas emissions, representing a significant stride towards a more visionary urban future [7,8].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [7]
The Conclusions and recommendations section mentions lower emissions as a potential benefit associated with AVs. It does not estimate a 35% reduction in greenhouse gas emissions, and its conditional language does not support the citing sentence’s definite prediction (searched: “35% reduction in greenhouse gas emissions” and “35”). (LLM, conf=0.85)
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References 28 · Cited by 123
Research works printed but not linked: 13
- Bartholomew, K. (2007). Land use-transportation scenario planning: Promise and reality. Transportation, 34(4), 397-412.
- Cohen-Blankshtain, G., & Rotem-Mindali, O. (2016). Key research themes on ICT and sustainable urban mobility. International Journal of Sustainable Transportation, 10(1), 9-17.
- Ewing, R., & Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American Planning Association, 76(3), 265-294.
- Gruel, W., & Stanford, J. M. (2016). Assessing the long-term effects of autonomous ve- hicles: A speculative approach. Transportation Research Procedia, 13(2016), 18-29.
- Kasraian, D., Maat, K., Stead, D., & van Wee, B. (2016). Long-term impacts of transport infrastructure networks on land-use change: An international review of empirical studies. Transport Reviews, 36(6), 772-792.
- May, G. (1982). The argument for more future-oriented planning. Futures, 14(4), 313-318.
- Papa, E., & Ferreira, A. (2018). Sustainable accessibility and the implementation of au- tomated vehicles: Identifying critical decisions. Urban Science, 2(1), 1-14.
- Pearman, A. D. (1988). Scenario construction for transport planning. Transportation Planning and Technology, 12(1), 73-85.
- Soteropoulos, A., Berger, M., & Ciari, F. (2019). Impacts of automated vehicles on travel behaviour and land use: An international review of modelling studies. Transport Reviews, 39(1), 29-49.
- Stead, D., & Banister, D. (2003). Transport policy scenario-building. Transportation Planning and Technology, 26(6), 513-536.
- Stead, D., & Marshall, S. (2001). The relationships between urban form and travel pat- terns. An international review and evaluation. European Journal of Transport and Infrastructure Research, 1(2), 113-141.
- Stone, J., Ashmore, D., Scheurer, J., Legacy, C., & Curtis, C. (2018). Planning for dis- ruptive transport technologies: How prepared are Australian transport agencies? In G. Marsden, & L. Reardon (Eds.). Governance of the smart mobility transition (pp. 123- 137). Emerald Publishing Limited.
- Thakur, P., Kinghorn, R., & Grace, R. (2016). Urban form and function in the autonomous era. Proceedings of the Australasian Transport Research Forum, 16-18 November 2016, Melbourne, Australia.
- Authors
- Stead, D., & Vaddadi, B.
- Affiliations
- Delft University of Technology (NL)
- KTH Royal Institute of Technology (SE)
- Corresponding author
- Stead, Dominic
- Venue
- Cities
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 92
- Pages
- 125-133
- ISSN
- 0264-2751 (ISSN-L)
- OpenAlex
- W2935420233
- Cited by
- 123
- References
- 28
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 19 · 2023: 24 · 2022: 20 · 2021: 13 · 2020: 20 · 2019: 7 · 2016: 1
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cities (publishedVersion)
- Research Repository (Delft University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Transportation › Urban Transport and Accessibility
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- autonomous vehicles, urban form, scenario analysis, urban expansion, parking demand, urban density, mixed land use, urban layout, public transport accessibility, motorization, urban design
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